Description
At Instacart, we're transforming the grocery industry by delivering an essential service that customers rely on to get their groceries and household goods. We invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together.
We're seeking a Senior Machine Learning Engineer to design, build, and deploy production machine learning systems that create measurable business impact. You will work across the full lifecycle of machine learning products, from problem formulation and data development through experimentation, deployment, monitoring, and continuous improvement.
Responsibilities
- Design, implement, and deploy machine learning models and services that support high-impact Enterprise AI products and business initiatives.
- Own the full machine learning lifecycle, including problem formulation, data preparation, feature development, model training, offline evaluation, experimentation, production rollout, and ongoing performance monitoring.
- Build reliable, scalable, and maintainable software in Python and related technologies, applying strong practices for testing, profiling, code review, documentation, and operational readiness.
- Partner with product, engineering, data science, and business stakeholders to define success metrics, prioritize work, and deliver solutions that improve customer and business outcomes.
- Develop and operate machine learning services on cloud infrastructure, with appropriate monitoring, alerting, observability, and safeguards for production performance and reliability.
- Use experimentation, statistical analysis, and causal or counterfactual evaluation techniques to assess model quality and guide launch decisions.
- Help shape technical direction through design reviews, architecture discussions, and thoughtful evaluation of modeling approaches, infrastructure choices, and tradeoffs.
- Contribute to a strong engineering culture by sharing knowledge, mentoring teammates, improving development practices, and participating in operational support for critical services.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
- Five or more years of professional experience developing and deploying machine learning models or systems in production.
- Proficiency in Python and SQL, including experience writing production-quality code with automated testing, profiling, debugging, and code review practices.
- Experience with the complete machine learning lifecycle, including data preparation, feature engineering, model evaluation, experimentation, deployment, and production monitoring.
- Experience building and operating machine learning services or data products in a cloud environment such as Google Cloud Platform or Amazon Web Services.
- Experience with containerized services and production software development practices, including Docker, continuous integration, monitoring, alerting, and incident response.
- Demonstrated ability to work with product, engineering, data science, and business stakeholders to define requirements and deliver measurable outcomes.
Preferred Qualifications
- Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- Experience designing machine learning systems for large-scale, high-throughput, or low-latency applications.
- Familiarity with distributed data processing, streaming systems, feature stores, or real-time feature computation.
- Experience with model serving, orchestration, and machine learning platforms such as Kubernetes, Airflow, Spark, or comparable technologies.
- Experience designing simulation, experimentation, or counterfactual evaluation frameworks for machine learning and decision systems.
- Proficiency in a performance-oriented language such as C++, Java, or Go.
- Experience mentoring engineers, leading cross-functional projects, or setting technical direction for machine learning initiatives.
- Experience working in e-commerce, marketplaces, logistics, retail, advertising, or another domain involving complex and evolving business constraints.
Benefits
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.